---
title: "Yongding Tao · Peking University — author profile and papers"
description: "Yongding Tao, Peking University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yongding-tao/"
---
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# Yongding Tao

Yongding Tao has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Xue Jiang](https://md.research.elamur.ai/free/en/authors/xue-jiang/), [Yihong Dong](https://md.research.elamur.ai/free/en/authors/yihong-dong/), [Zhi Jin](https://md.research.elamur.ai/free/en/authors/zhi-jin/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5143272568) · [**h-index 1**](https://openalex.org/authors/A5143272568) · [2 works](https://openalex.org/works?filter=author.id:A5143272568) · [1 citations](https://openalex.org/works?filter=author.id:A5143272568&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yongding-tao/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/yongding-tao/cited-by/) · [⭐ Paper Stars ranking: #9856](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9856)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yongding+Tao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yongding+Tao) · [dblp](https://dblp.org/search?q=Yongding+Tao) · [ACL Anthology](https://aclanthology.org/search/?q=Yongding+Tao)

## Affiliations

[🎓**Peking University** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yongding-tao/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization](https://md.research.elamur.ai/free/en/papers/dong-2026-rl-plus-countering-capability-boundary/)** *(2026 · 6 citations)* RL-PLUS targets a known weakness of Reinforcement Learning with Verifiable Reward (RLVR). Standard on-policy training such as GRPO raises pass@1 but often lowers pass@k at large k. In other words, the tuned model solves fewer distinct problems than its base model, which the authors call capability boundary collapse.…
2. **[CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment](https://md.research.elamur.ai/free/en/papers/jiang-2026-coderl-improving-code-generation-reinforcement/)** *(2026 · 5 citations)* LLMs learn code by predicting text, but whether a program is correct depends on how it behaves when run. RLVR methods try to close this gap by rewarding programs that pass tests. A single pass/fail bit, however, gives little guidance about subtle logic errors such as mistracked loop variables.

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Xue Jiang](https://md.research.elamur.ai/free/en/authors/xue-jiang/) ×2
- [Yihong Dong](https://md.research.elamur.ai/free/en/authors/yihong-dong/) ×2
- [Zhi Jin](https://md.research.elamur.ai/free/en/authors/zhi-jin/) ×2
- [Binhua Li](https://md.research.elamur.ai/free/en/authors/binhua-li/)
- [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/)
- [Ge Li](https://md.research.elamur.ai/free/en/authors/ge-li/)
- [Kechi Zhang](https://md.research.elamur.ai/free/en/authors/kechi-zhang/)
- [Lili Mou](https://md.research.elamur.ai/free/en/authors/lili-mou/)
- [Rongyu Cao](https://md.research.elamur.ai/free/en/authors/rongyu-cao/)
- [Tian Wang](https://md.research.elamur.ai/free/en/authors/tian-wang/)
- [Yingwei MA](https://md.research.elamur.ai/free/en/authors/yingwei-ma/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yongding-tao/cited-by/).

Updated 30 October 2026
